Recent years have witnessed great advances in applying deep learning to improve fluorescence microscopy imaging. However, enhancing the fidelity of image restoration networks and improving their ...
Penn Engineers have developed an open-source algorithm that combines the speed of AI with the precision of geometry to ...
To our knowledge, this study is the first to apply deep learning models that can, beyond diagnosis, identify molecular subtypes and predict outcomes in a single brain tumour entity (meningioma) using ...
Class Balancing Approaches in Dataset for Software Defect Prediction: A Systematic Literature Review
Abstract: Defects cause a great impact on software reliability, and therefore also reduce software quality. To address this, the area of software defect prediction has emerged. This is an area that ...
Abstract: Multi-label image recognition with convolutional neural networks has achieved remarkable progress in the past few years. However, most existing multi-label image recognition methods suffer ...
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